Operations Engineer (Data Operations & Production Support)

Operations Engineer (Data Operations & Production Support)

📍 Remote 🌎 Colombia

About the Role

Our client’s Operations & Engineering team is looking for an Operations Engineer to support operational workflows, data integrity, and client deliverables across client-facing platforms. You’ll report to the Director of Operations & Analytics. Your focus will be monitoring, managing, and optimizing ingestion and post-ingestion pipelines so the team meets its SLAs and clients have a seamless experience. You’ll work with engineering, product, and client success teams to keep operations excellent, reduce risk, and drive continuous improvement in a fast-paced environment.

What You’ll Do

• Monitor operational workflows and system processes (data ingestion, post-ingestion, and UI delivery) to keep service running smoothly.
• Monitor application health and troubleshoot using runbooks and documentation.
• Investigate root causes of business operations issues, and develop and implement corrective actions.
• Log issues, delays, and anomalies accurately, and escalate critical problems per internal protocols.
• Respond to client queries promptly and professionally, within defined timelines.
• Deliver outputs accurately and within agreed SLAs.
• Work with Engineering, Product, and Client Success to resolve incidents, align expectations, and improve processes.
• Keep detailed records of incidents, client interactions, and operational metrics for reporting, audits, and analysis.
• Spot recurring issues and help design preventive measures and long-term solutions.
• Use SQL, Shell scripting, and Python for technical operations support.
• Support automation and workflow improvements to increase efficiency.

Required Qualifications

• 4+ years in operations, data engineering, or production support roles.
• Proven hands-on experience querying and analyzing data with MySQL and Advanced Excel.
• Linux basics and networking fundamentals.
• Experience with cloud technologies such as AWS.
• Familiarity with workflow orchestration (Airflow), cloud infrastructure, and containerization (Kubernetes).
• Strong analytical and troubleshooting skills.
• Strong communication, documentation, and cross-team collaboration skills.
• Ability to work in a fast-paced, client-focused environment.
• Proactive, detail-oriented, and committed to continuous improvement.

Preferred Qualifications

• Experience in SaaS, energy, or data-driven industries.
• Datadog or similar health monitoring systems.
• PySpark, data integration, ETL, data quality and controls, data analysis, reporting, and testing.
• Familiarity with UI-based client platforms and Excel API integrations.
• Monitoring and alerting tools, including custom scripting.
• Git, Agile methodologies, and Jira or similar issue trackers.

Technical Environment

SQL · MySQL · Python · Shell scripting · Advanced Excel · Linux · Networking · AWS · Airflow · Kubernetes

Nice to have: Datadog · PySpark · ETL · Git · Jira

Core Competencies

Analytical troubleshooting · Root cause analysis · SLA ownership · Client communication · Documentation discipline · Continuous improvement

Why Join Us

You’ll be at the heart of a data-driven SaaS operation. You’ll keep critical client deliverables on time, work closely with engineering and product, and help automate how operations run.